Environmental DNA assessment of airborne plant and fungal seasonal diversity.

Aerobiology High throughput sequencing Italy PERMANOVA PLANiTS Pollen Spore

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Oct 2020
Historique:
received: 24 03 2020
revised: 25 05 2020
accepted: 14 06 2020
entrez: 19 8 2020
pubmed: 19 8 2020
medline: 20 8 2020
Statut: ppublish

Résumé

Environmental DNA (eDNA) metabarcoding and metagenomics analyses can improve taxonomic resolution in biodiversity studies. Only recently, these techniques have been applied in aerobiology, to target bacteria, fungi and plants in airborne samples. Here, we present a nine-month aerobiological study applying eDNA metabarcoding in which we analyzed simultaneously airborne diversity and variation of fungi and plants across five locations in North and Central Italy. We correlated species composition with the ecological characteristics of the sites and the seasons. The most abundant taxa among all sites and seasons were the fungal genera Cladosporium, Alternaria, and Epicoccum and the plant genera Brassica, Corylus, Cupressus and Linum, the latter being much more variable among sites. PERMANOVA and indicator species analyses showed that the plant diversity from air samples is significantly correlated with seasons, while that of fungi varied according to the interaction between seasons and sites. The results consolidate the performance of a new eDNA metabarcoding pipeline for the simultaneous amplification and analysis of airborne plant and fungal particles. They also highlight the promising complementarity of this approach with more traditional biomonitoring frameworks and routine reports of air quality provided by environmental agencies.

Identifiants

pubmed: 32806340
pii: S0048-9697(20)33770-0
doi: 10.1016/j.scitotenv.2020.140249
pii:
doi:

Substances chimiques

DNA, Environmental 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

140249

Investigateurs

Pierluigi Verardo (P)
Francesca Tassan (F)
Nadia Trobiani (N)
Olga Moretti (O)
Maria Francesca Borney (MF)
Stefania Lazzarin (S)

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Elisa Banchi (E)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy; National Institute of Oceanography and Applied Geophysics - OGS, via Piccard 54, I-34151 Trieste, Italy.

Claudio G Ametrano (CG)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy.

Enrico Tordoni (E)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy.

David Stanković (D)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy; Marine Biology Station, National Institute of Biology, Fornače 41, SLO-6330 Piran, Slovenia.

Silvia Ongaro (S)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy.

Mauro Tretiach (M)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy.

Alberto Pallavicini (A)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy; National Institute of Oceanography and Applied Geophysics - OGS, via Piccard 54, I-34151 Trieste, Italy. Electronic address: pallavic@units.it.

Lucia Muggia (L)

Department of Life Sciences, University of Trieste, via Giorgieri 10, I-34127 Trieste, Italy. Electronic address: lmuggia@units.it.

Articles similaires

Populus Soil Microbiology Soil Microbiota Fungi
Animals Cattle Alberta Deer Seasons
1.00
Iran Environmental Monitoring Seasons Ecosystem Forests
Zea mays Triticum China Seasons Crops, Agricultural

Classifications MeSH